Zendar is a Berkeley-based startup building the next generation high-resolution radar solution for autonomous vehicles. Current perception systems that rely solely on LiDAR and camera are unable to operate in bad weather conditions. Zendar is developing critical technology for autonomous vehicles to operate reliably in all weather conditions, such as heavy rain, fog, and snow.<p>We are looking for a graduate student intern to join our team to improve our radar imaging pipeline. Candidates should be pursuing a masters / PhD degree in computer science / electrical engineering / applied physics / applied mathematics or relevant field. An in-depth understanding of random processes, digital signal processing and experience with Python / C++ is required. Prior experience with estimation techniques such as Kalman filter, extended Kalman filter and particle filter is a plus. Not only will you receive invaluable guidance from an experienced team, you will gain hands-on experience in an exciting field. This is a full-time paid position and we ask for a commitment of at least 3 months with potential to extend.<p>What else we have to offer:<p>Conveniently located in West Berkeley<p>Free and nearby parking<p>Daily catered lunches<p>Full-stocked refrigerator<p>Weekly happy hour<p>If you are interested, please contact Jimmy Wang at jimmy@zendar.io